Job Description
Are you ready to shape the future of machine learning? Nexus AI Analytics is looking for a Senior Data Scientist to join our elite engineering team in the heart of San Francisco. In this role, you will architect scalable predictive models, transform complex datasets into actionable business intelligence, and drive innovation across our global product suite.
We are a fast-paced, high-impact team that values curiosity, technical rigor, and data-driven decision-making. You will have the opportunity to work with cutting-edge technologies and lead high-visibility projects that directly impact our bottom line.
Responsibilities
- Design, build, and deploy end-to-end machine learning pipelines to solve complex business problems.
- Collaborate with cross-functional teams to identify and translate business needs into technical data requirements.
- Conduct advanced statistical analysis to identify trends, patterns, and insights that inform strategic decision-making.
- Mentor junior data scientists and contribute to maintaining high standards of code quality and peer review.
- Develop and maintain production-ready model monitoring systems to ensure peak performance and reliability.
- Communicate technical findings to non-technical stakeholders through compelling data storytelling and visualizations.
- Stay at the forefront of AI research and explore new algorithms to maintain our competitive edge.
Qualifications
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
- 5+ years of professional experience in data science, with a proven track record of deploying models to production.
- Expertise in Python or R, and deep familiarity with machine learning libraries such as Scikit-learn, PyTorch, or TensorFlow.
- Strong proficiency in SQL and experience working with large-scale distributed data systems (e.g., Spark, AWS Redshift, or Google BigQuery).
- Solid understanding of data structures, algorithms, and statistical modeling techniques.
- Experience with cloud platforms like AWS, GCP, or Azure.
- Excellent communication and leadership skills with the ability to influence stakeholders at all levels.